评估个体间差异导致的 2 型糖尿病患者糖化血红蛋白和糖化白蛋白的误差水平。

Evaluation of error levels in hemoglobin A1c and glycated albumin in type 2 diabetic patients due to inter-individual variability.

机构信息

Diabetes Division, Department of Internal Medicine, Meimai Central Hospital, Matsugaoka 4-1-32, Akashi, Hyogo 678-0862, Japan.

出版信息

Diabetes Res Clin Pract. 2010 Aug;89(2):115-20. doi: 10.1016/j.diabres.2010.04.007. Epub 2010 May 7.

DOI:10.1016/j.diabres.2010.04.007

PMID:20452083

Abstract

AIM

To evaluate error levels in hemoglobin A1c (A1C) and glycated albumin (GA) in type 2 diabetic patients due to inter-individual variability.

METHODS

Type 2 diabetic patients with stable glycemic control and without complications affecting either A1C or GA were enrolled (n=154; age 68.4+/-9.9 years). Blood examination was performed 1-4h after breakfast or lunch every 2-3 months on > or =3 occasions. A1C data were changed to IFCC values for analysis.

RESULTS

A1C and GA correlated significantly with postprandial plasma glucose. The correlation coefficient between A1C and GA was 0.728 (p<0.001) when calculated using raw data and 0.747 (p<0.001) when calculated using averaged data for each patient. The ratio R of GA to A1C was 3.88+/-0.50 for raw data and 3.88+/-0.47 for averaged data, indicating coefficients of variation of R (CV(R)) of 12.9% and 12.1%, respectively. Multiple regression analysis reduced CV(R) to 11.2%. After dividing CV(R)(2) into CV(A1C)(2) and CV(GA)(2), CV(A1C) and CV(GA) were calculated as 9.1% for raw data and 8.6% for averaged data, and were reduced to 7.9% after multiple regression analysis.

CONCLUSIONS

Error levels in A1C and GA reach 7.9-9.1%, suggesting the existence of maximal 18% errors in A1C and GA levels.

摘要

目的

评估 2 型糖尿病患者由于个体间差异导致的糖化血红蛋白（HbA1c）和糖化白蛋白（GA）的误差水平。

方法

纳入血糖控制稳定且无影响 HbA1c 或 GA 的并发症的 2 型糖尿病患者（n=154；年龄 68.4±9.9 岁）。每 2-3 个月早餐或午餐后 1-4 小时进行 3 次以上的血液检查。为了分析，将 HbA1c 数据转换为 IFCC 值。

结果

HbA1c 和 GA 与餐后血浆葡萄糖显著相关。当使用原始数据计算时，HbA1c 和 GA 之间的相关系数为 0.728（p<0.001），当使用每个患者的平均数据计算时，相关系数为 0.747（p<0.001）。GA 与 HbA1c 的比值 R 为原始数据的 3.88±0.50 和平均数据的 3.88±0.47，表明 R 的变异系数（CV（R））分别为 12.9%和 12.1%。多元回归分析将 CV（R）降低至 11.2%。将 CV（R）2 分为 CV（HbA1c）2 和 CV（GA）2 后，计算原始数据的 CV（HbA1c）为 9.1%，平均数据为 8.6%，多元回归分析后降至 7.9%。